Data Scientist

January 2013 to December 2013

Responsibilities 
Project: Credit Risk Model 
The model was developed to identify risky bank loans using decision trees. This analysis helps banks to tighten the lending process by identifying risky loans. Decision tree algorithm was used in this model to identify factors to find the higher risk of default. 
Role: Data Scientist 
Responsibilities: 
Participated in analytics initiatives to improve operational efficiency by utilizing business insights so obtained to Reduce Train Derailments, Increase Train Shipments, Big Emission Reductions, Customer (Shipper & Consignee) retention analysis, Improve Trip Building process for intermodal movement and cargo movement analysis. 
Worked on programs for evaluating the data analytics opportunities to improve the rail road operations monitoring & trip building processes. 
Identify additional data sources to augment the opportunities. 
Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client's data/ IT teams to resolve data issues 
Responsible for data identification, collection, exploration & cleaning for modeling, participate in model development 
Capability to execute complex substantive analysis, including statistical modeling on large data sets. 
Experienced in predictive analytics projects (i.e. supervised & unsupervised machine learning techniques. 
Strong programming skills using R, Elastic Search & Machine Learning Algorithms 
Designed and helped implement machine learning algorithms to enhance existing data mining capabilities 
Used variety of analytical tools and techniques (regression, logistic, GLM, decision trees, machine learning etc.) to carry out analysis and derive conclusions 
Knowledge of other relational database platforms such as Oracle, DB2, IMS-DB, NoSQL (Elastic Search) etc. 
Visualize, interpret, report findings and develop strategic uses of data. 
Help create and design reports that will use gathered metrics to infer and draw logical conclusions of past and future device behavior 
Reformulate highly technical information into concise, understandable terms for presentation to the team and the client 
Demonstrated aptitude for business problem identification, data collection and preparation, modeling, and problem solving 
Used data to produce business insights using visualizations. 
Write requirements for new analytic reports which will provide cross-functional support across business verticals 
Maintain current knowledge of applicable business activities. 
Support business users on data discovery, experimentation, hypothesis testing and develop subject matter expertise on functional side of the business. 
Support the comprehensive and successful execution of the team's programs in an efficient and effective manner. 
Lead and participate in ad hoc special projects and other initiatives, as requested. 
Ensure all assigned activities are completed according to prescribed policies and standards. 
Standard software development practices (source control, unit testing, automation and performance monitoring) 
Contributed insights from conclusions of analysis that integrate with initial hypothesis and business objective. 
Environment: Linux, Hadoop, Hive, MySQL, Spark, R, R-Studio, Tableau, Environment: R, SPSS, Machine Learning, Tableau, ggplot, Rattle, Linux, Elastic Search, SQL, Kibana

Data Scientist

September 2015 to December 2015

Immersive program building data science skills through project-based curriculum 
Acquired and cleaned data (scraping websites and consuming web APIs) 
Used machine learning tools to predict movie attendance, criminal behavior and to visualize Twitter reactions to news and match recipes to music

Data Scientist

April 2015 to October 2015

Responsibilities 
Worked with SQL in assisting in designing queries in PostgreSQL for data science initiative.

INTERIM PERIOD

October 2011 to March 2015

Completed Demanding Doctorate Classwork and Dissertation – completed doctorate classwork and dissertation at Colorado Technical University (graduated Magna Cum Laude) Dissertation: “Verifying the Existence of Epochs and Controlling Excess Complexity in Open-Source Software” 
 
Extended Medical Leave - took required time off due to unavoidable medical reasons

Software Developer

February 2010 to September 2011

Developed and maintained JEE software retirement solutions; implemented JEE internal company software solutions and engaged in project management activities. 
 
Key Projects 
➢ Schwab/PCRA - enhanced financial/retirement management software in coordination with a senior software developer. 
➢ TestFlow - collaborated on internal application utilizing Java, XSLT, jQuery, JavaScript, HTML; worked part-time as a project manager for the development of software in meeting deadlines and facilitating collaboration among other software stakeholders.

Technical Lead

April 2009 to April 2009

April 2009 
➢ Main job - overseeing export control of sensitive data. As a result of my own initiative, developed J2EE search engine optimization application for improving GE search-engine-site rankings.

Software Developer IV (JEE Development)

September 2008 to January 2009

Relied on for knowledge regarding software design patterns and search engine optimization (SEO) techniques; collaborated in innovative e-mail marketing campaigns and web-site redesign projects driven by data science efforts; single project resulted in a revenue increase by 300% in customer online sales. 
 
Key Projects 
➢ Wilma Internet Site Configuration Tool - Served as SME; worked with JEE servlets, JSP, and JDBC in developing and maintaining an in-house 3tier enterprise application for configuring Internet customer site (www.cabelas.com). Collaborated with marketing department to increase business profits through improving company's search engine optimization strategy. 
➢ Presentation - Delivered well-received presentation on software design patterns to developer group

Embedded Systems Software Engineer

June 2004 to September 2008

Future Combat Systems Project) 
Developed object oriented C++ embedded systems code. Developed shell scripting code in a Linux environment, and Microsoft DirectX and C++ joystick-driven-prototype code for Command and Control Vehicle (C2V) team. 
 
Key Projects 
➢ JAVA XML File Editor - Chosen to design and develop Java Swing application for high-profile prototype project in Future Combat Systems Program using advanced Java UI Swing and XML libraries for XML configuration file editing. 
➢ OneSAF Java Application Analysis - Analyzed and prepared documentation for gap-requirements analysis on a large military-centric training application developed in Java/JEE. 
➢ Requirements Engineering - Collaborated with other engineers in software requirements work.

Data Analyst

October 2015 to January 2016

Responsibilities 
• Pulled customer and website data from Hadoop and Teradata using SQL 
• Cleaned and merged data sources using Excel and Alteryx 
• Preformed customer behavior analysis for client’s website using Excel, Adobe Analytics, and Adobe Target 
• Measured the performance of promotional banners 
 
Accomplishments 
• Wrote Java program that collected 80,000 data points from the client’s website. The data was used to improve product recommendations 
• Analyzed the website’s left navigation usage to determine the most popular brands and related categories of each sub-category page 
 
Skills Used 
Excel, Alteryx, Java, SQL

Data Scientist

May 2015 to October 2015

**Automated the collection and storage of stock and option data  
• Wrote Java program that downloads 770,000+ stock and option market data a day from the websites Zacks, Yahoo, Nasdaq, and TradeKing. The data is then cleaned and stored in a SQL database that I manage 
• Preformed exploratory data mining by studying statistical relationships in the data using SAS 
• Wrote Java program that scans the entire Nasdaq and New York Stock Exchange looking for low risk option trading opportunities 
 
**Developed predictive algorithm for call option prices 
• Collected data and preformed statistical analysis to forecast call option prices

Researcher

January 2015 to May 2015

**Modeled the effect of Sunday operation of ABC stores on fatalities from drunk driving 
• Gathered data and developed advanced predictive model using SAS 
• Gave verbal presentation of analysis using PowerPoint

Senior Data Scientist and Team Manager

May 2014 to January 2016

• Interfaced with client (KPMG) in architecting data science solutions and statement of work for data science team in the development of new predictive models for the financial audit processes. 
• Initiated and guided both KPMG and Orion towards implantation of the CRISP methodology for successful data science project planning and management. Success rate of projects implementing methodology dramatically increased. 
• Wrote white papers on potential new project initiatives; 
◦ Bitcoin Blockchain Valuation; use of NeuralShell Chaos Hunter software to project the value of Bitcoins using Particle Swarm Algorithm 
◦ Predictive Modeling for accounts receivables valuation using decision trees 
◦ Financial Statement fraud detection via the application of ratio analysis and text analytics 
◦ Predictive modeling for detection of loan default rates using logistic regression 
◦ Health care analytics; predictive modeling in Alteryx using two a class boosted decision tree algorithm, for medication adherence modeling which predicts the likely hood of a patient not adhering to prescribed medications 
• Guided, managed, mentored a team of seven data scientist in accomplishing project requirements on time and within budget 
• Developed Orion training on Text analytics and NLP using R and GATE. 
• Introduced and Coded in R, machine learning predictive modeling using neural networks. 
• Coordinated data sourcing and cleaning for predictive models, used SQL in SQL Server environment

Data Analyst / Adjunct Professor - Computer Science

October 2006 to April 2014

• Adjunct Professor; taught classes in Networking, Computer Fundamentals, and Medical Billing Applications 
• Consultant for Middle States Accreditation Committee; 
◦ Developed and analyzed academic models, surveys and focus groups 
◦ Modeled Outcomes assessment for curriculum enhancement and state reporting 
• Developed course curriculum teach Microsoft Office and medical billing online

Data Analyst Consultant

October 2006 to April 2014

• Independent Consultant for NY Media Company 
◦ Assisted Senior Audience Analyst in understanding statistical analysis and development of predictive models 
◦ Developed viewership predictive model for predicting probable success rate for new shows, used R and SPSS in a logistic regression 
◦ Developed Market mix modeling to evaluate the return on investment (ROI) of various marketing components, used R and SPSS in a multivariate stepwise regression

Adjunct Professor - Computer Science

2006 to 2009

Courses taught: Fundamentals of computer science and Web Design

Chair of Network Technology Department

2004 to 2006

• Statistical Modeling of student performance based on teaching methodology and academic resources 
• Hired, supervised and mentored adjunct instructors and full time Professors 
• Developed technical specifications and budget for a new multimedia classroom. Developed Academic Curriculum for a new web design program 
• Chaired Academic Committee and Employer Advisory Committee. Course Curriculum development

Senior Technical Consultant

1998 to 2003

Trained senior technical managers on PeopleSoft HRMS / HRIS applications. Clients included: Memorial Slone 
Kettering Cancer Centerr.

Scientist

September 2009 to September 2015

Roles and responsibilities 
 Creating system design for new equipment and conceptualizing hardware components and systems 
 Envisioning and designing architecture, implementation of the software architecture, integration of sub-systems and testing 
 Analyze, design and develop software for Flight Test Instrumentation (FTI) using CAN BUS protocol 
 Board Bring up of (ARM/PowerPC/Intel Atom Architecture), U-Boot, kernel and File system in Linux using Busybox, porting BSP/boot loaders/Linux/RTOS to new hardware 
 Linux network device driver development at kernel level for WLAN PCF and DCF modes 
 Linux character device driver and user level application code to test the various components in the Software defined radio platform 
 Develop multi-threaded programming and thread synchronization using POSIX APIs 
 Porting of waveforms such as 802.11a and OpenBTS GSM to validate SDR platform 
 Code review, verification & validation of software and documentation review 
 Managing mass budget and power budget for flight pay load 
Environment: C, Linux, ARM Cortex A9, PowerPC, CANoe, Keil tool, Eclipse, Ubuntu 12.04, Xilinx Vivado and ISE, GIT, CVS, Microsoft VisualC++ express, GNURadio, Vector Signal Generator and Analyzer, Oscilloscope, Matlab 
 
PROJECTS: 
 
Software Defined Radios and Dynamic spectrum management: 
The Flexible Radios and Dynamic spectrum management project involved design and development of Software Defined Radios hardware and software architecture, Realization of test waveforms […] PHY and OpenBTS GSM) and integrating a policy based management framework with the SDR operating environment 
In the second phase of the project, the goal was to port two avionics waveforms (VDL Mode-2 and LDACS-2) on top of ARINC 653 conformant OS and to demonstrate the brick wall portioning concept on to the dual core Cortex A9 based hardware platform.  
 
Flight Test Instrumentation (FTI) for Spaceplane demonstrator: 
Spaceplane demonstrator project was a prototype of the space tourism program by Airbus Defense and Space. This project was a part of a multimillion dollar project executed by four different organizations in Singapore and Europe.  
 
The spaceplane demonstrator was successfully drop-tested in South China Sea in first week of May, 2014.  
http://www.bbc.com/news/science-environment-27686906  
 
MAC and Driver development for […] MAC for the reliable infrared based wireless communication: 
The objective of the project “Reliable Wireless Optical Communication” was to provide a real-time communication system that is suitable for aeronautic applications based on the Quality of Service (QoS). The device driver code for MAC written for Linux system involves driver support for PCIe and DMA transfer between the Host PC and FPGA. 
 
MIMO RADAR - mm-wave range: 
The objective of this project was to develop and demonstrate a RF based sensor technology security screening system to detect concealed weapons using MIMO Radar technology in critical facilities like Airports, Railway stations, etc.  
It involved development of a Matlab based software to reconstruct an image from the data received from MIMO RADAR antenna received 
 
Sensor based water indicator for Gear Rotary Actuator for Aircraft: 
The objective of this project was to develop a hand-held device to measure the water content in the lubricant of the Gear Rotary Actuator (GRA) of an aircraft combining multiple technologies such as RFID, Wi-Fi and VB.NET. Measurement was tracked with the help of RFIDs fitted to each component.

Tech Manager

July 2006 to August 2009

Roles and responsibilities 
 Requirements analysis and preparation of specification document 
 Envisioning and designing architecture, implementation of the software architecture, integration of sub-systems and testing 
 Leading a team to deliver the MAC CPS as an independent C-library and integrate with the Base Station 
 Participated in the discussion of identification of Network processor to migrate WiMAX MAC CPS from IXP23xx network processor 
 Development of WiMAX PHY algorithms on TigerSharc processor using C language 
 Board Bring up of (ARM based WiMAX CPE SoC), U-Boot, kernel and File system in Embedded Linux using Busybox, porting BSP/boot loaders/Linux/RTOS to new hardware 
 Develop multi-threaded programming and thread synchronization using POSIX APIs 
 Development of WiMAX protocol dissection using C language for Wireshark protocol dissector 
 Inter-Operability Test (IOT) of ALU WiMAX Base Station against WiMAX CPE from various vendors 
 Code review, verification & validation of software and documentation review 
Environment: C, C++, Linux, ARM Cortex A9, PowerPC, IXP23xx, Eclipse, Debian Linux, IXIA traffic generator, Rational ClearCase, Microsoft Visual Studio, WiMAX protocol Analyzer, Oscilloscope, ALU WiMAX BS, Matlab 
 
PROJECTS: 
 
WiMAX Testmobile Configuration Manager: 
Testmobile was an application which is used to configure WiMAX parameters. The application was built on Java and MYSQL architecture, with file based logging features. The device had the capability of setting the parameters by transmitting them in the form of packets. The device also had the capability of changing the parameters and storing them in the MYSQL database. Finally the readings were also plotted onto a graph using the Java-based front end. 
 
MAC Common Part Sub-Layer (CPS): 
Design and development of WiMAX MAC CPS as an independent C-library. It also involved porting of MAC C-Library to new hardware platform and integration with other MAC components (Scheduler, Convergence Sub Layer)

Associate Design Lead

September 2004 to June 2006

Projects & Responsibilities: 
DSP based Demodulator for BBcorDECT system: 
- Requirement/feature collection, Preparation of Specification document, Software Architecture, HLD and LLD, Interaction with Baseband and RF teams to define requirements 
- Implemented a DSP based demodulation algorithm for the receiver to synchronize with the transmitter and recover the 2/4/8 level GFSK modulated data, using ADSP 2187 processor at the CPE and Blackfin 533 processor at the Base Station end. 
- Also developed a MATLAB-based simulation code for modulation and demodulation algorithm for performance testing 
 
Erasure Correction based on CRC: 
- Requirement/feature collection, Preparation of Specification document, Software Architecture, HLD and LLD, Interaction with Baseband and RF teams to define requirements 
- Implemented a DSP based Erasure correction algorithm in ADSP2187 assembly language which is used to correct up to 3 erasures.  
- Developed a MATLAB-based simulation code for performance testing of the erasure correction based on CRC algorithm

Senior Software Engineer

December 2000 to August 2004

IEEE 802.11n Channel Estimation (SANYO ELECTRIC CO, Japan on deputation from L&T Infotech Ltd): 
- Designed, Developed Simulation software for estimating the Channel capacity for IEEE 802.11n WLAN using cluster-modeling approach. 
- Performed detailed evaluation for correctness and performance in the WLAN -AAM test setup. 
 
IEEE 802.11a WLAN-AAM Access point development (SANYO ELECTRIC CO, Japan on deputation from L&T Infotech Ltd): 
- Development of Simulation software which included OFDM, Puncture/De-Puncture, Interleave / De-Interleave, Viterbi error correction etc. for IEEE 802.11a PHY standard in C language. The Simulation software is used for the LSI design of WLAN-AAM technique. 
- Developed Adaptive Array Algorithm in DSP Assembly language, which is the core part of the WLAN-AAM Access point development. 
- Development of FLASH programming of Fujitsu Flash Memory […] which is used for Booting the TI DSP after Reset. 
IEEE 802.11b WLAN-AAM Access point development (SANYO ELECTRIC CO, Japan on deputation from L&T Infotech Ltd) 
- Development of Simulation software, which included DBPSK, DQPSK, CCK modulations for achieving various data rate for IEEE 802.11b PHY standard in C language. The Simulation software is used for the LSI design of WLAN-AAM technique. 
- Software development for Automatic calibration of the 4 directional Antennas used in the Access point to adjust the phase and Amplitude during start time. 
- Also, Ported, floating to fixed point conversion and optimization in […] TI DS and developed […] assembly code for making the Boot routine of the chip after reset for both the chips. 
 
Viterbi Error correction algorithm development for Trellis codes (SANYO ELECTRIC CO, Japan on deputation from L&T Infotech Ltd): 
- Responsible for the Development of C reference software for Convolutional coding and Viterbi decoding for pi/4 QPSK 
- Porting and optimization in TI DSP assembly language 
- Implemented in Base station test set up and checked the performance of BER, FER characteristics 
 
MPEG-4 Simple Visual Profile Codec for video mail System: 
- Design and Implementation of I-VOP portion of the Simple Visual Profile Level 3 Codec as per MPEG-4 Video Standard using […] Code Composer Studio. 
- Responsible for the analysis for major functions in Video Codec 
- Major role in optimization of the C and Assembly program for time and memory critical applications, integration and porting into TI DSP

Data Scientist (Internship)

June 2015 to December 2015

Responsibilities 
• Optimized/Updated machine learning (Random Forest in R) models tuning for Tuberculosis (TB) drug resistance prediction project resulting in 10% prediction accuracy improvement for 4 models 
• Developed data cleaning software for TB genetic mutation file (Python & Perl) under Linux environment, reducing cluster computing time by 30% 
• Reported/Presented to Product Management Team with the model demo, successfully winning the approval from management team 
 
Skills Used 
R, Python

Office Assistant of International Development, Asia

April 2015 to October 2015

Responsibilities 
• Built logistic regression models to identify active alumni who are more likely to donate to university, narrowing down target group email list and improving alumni fundraising event participation rate by 20% 
• Organized fundraising events welcomed by local alumni in China resulting in 95% alumni satisfaction rate and better communication with university 
 
Skills Used 
Event Planning, R

Data Scientist

July 2013 to February 2016

Responsibilities 
Performed research pertaining to social media, especially concerning community interactions. Adapted research findings into novel metrics and repeatable analyses in the form of production-quality Java code. Responsible for designing and implementing algorithms to assist in the generation of actionable insights for alpha customers operating in social media space. Wrote technical reports, attended conferences and consulted with academics in research projects. Managed junior analysts in performing social media analyses.

Data Scientist

March 2014 to June 2015

Responsibilities 
Developed and deployed a loosely coupled, fault tolerant and highly available federated system 
based on distributed worker agents that carry out a workflow involving a number of agents 
working in concert to accomplish a specific requirement. A predictive model built on top of such a 
schema performs video recommendation via explicit and latent features extracted from user 
profile log, social media contents and real-time click tracking data as well as news contents and 
video meta data. Worker agents perform designated tasks with given input and emit specific 
output in a real-time environment. A feature based predictive model, such as matrix factorization 
or collaborative filtering, also exists an agent collects all features in order to make a final decision. 
A back office application that exposes this video recommendation functionality is now deployed 
over more than a thousand news outlets in the US market that generates over a quarter of billion 
video views monthly. Major clients include Los Angeles Times, Chicago Tribune, New York Times 
Buzz Feed, and Associate Press. 
 
Accomplishments 
Add realtime machine learning predictive model for video recommendation that sustain hundreds of millions of video recommendation requests. 
 
Skills Used 
Python 
Matrix factorization predictive modeling 
Vector space clustering 
Cloud based shared memory and loosely coupled federated agent system

Senior Research Engineer

September 2005 to December 2013

Data analytics engine that leverages natural language processors and supervised/unsupervised 
machine learning models enables machines to read, resolve and reason with terascale of 
unstructured data. A SDK package known as Synthesys provides end-to-end text analytics from 
raw texts to temporal and spatial fact visualization had been successfully implemented by several 
military intelligent entities and launched in the war theaters of Iraq and Afghanistan to help US 
Forces fight against terrorist activities. Other successful commercial adaptations of Synthesys 
platform, such as compliance and risk management can also be found in service industries, such 
as Banking and Legal/Law practice sectors.

QA Manager

May 2004 to July 2005

Senior Developer

June 2003 to April 2004

Manager, Solutions Engineering

July 2001 to May 2003

Project Manager

2000 to 2001

Lead Developer

1998 to 2000

Project Manager

1996 to 1998

Data Scientist

December 2012 to March 2013

Created targeting models to accurately predict response rates to direct-mail auto-insurance 
advertisements 
• Audited targeting models to verify accuracy of segmentation 
• Created weekly results reports for variety of insurance clients including Progressive, Amica, MetLife

Media Production Assistant

June 2011 to September 2012

• Videotaped and edited a variety of academic conferences, lectures, classes 
• Worked with professors to create video supplements for the classroom and for their research 
• Uploaded video and media content to Brown University servers 
• Created DVDs of content for use in classrooms and conferences 
• Corresponded with professors and administrators regarding status of projects

Student Office Assistant

October 2009 to May 2012

General secretarial and office duties including handling of incoming visitors and calls, photocopying, 
appointment scheduling, and data entry

Scientist II

June 2015 to September 2015

Responsibilities 
Scientist II Production: Life Technologies, Austin, TX […] 
Manufacturing programs focused on RNA and RNA related products, Production of big dye terminator for next generation sequencing. Bio-conjugation of fluorescent dyes with nucleotides. Purification, characterization & data analysis.

Synthetic Chemist

October 2014 to February 2015

Part of a chemistry team in contract research-driven synthetic organic chemistry. Responsibilities includes synthesis of new drug analogues for diverse cellular targets in a medicinal chemistry and process development laboratory.

Scientist II Production

October 2013 to October 2014

Design, synthesis, purification and analysis of complex organic compounds. Implement production and large scale manufacturing procedures to optimize processes and meet regulatory requirements.

Process Chemist

July 2013 to September 2013

Process optimization for scale-up various chemistries for small and large molecular polymer synthesis for use in the optical materials field. Data interpretation and structure characterization using HPLC, GPC / SEC & UV Vis.

Scientist II Production

April 2012 to May 2013

Design, synthesis, purification and analysis of complex organic compounds. Implement production and large scale manufacturing procedures to optimize processes and meet regulatory requirements.

Process Chemist

December 2010 to March 2012

Process optimization for scale-up various chemistries for small and large molecular polymer synthesis for use in the optical materials field. Data interpretation and structure characterization using HPLC, GPC / SEC & UV Vis.

Production Chemist

February 2010 to December 2010

Design, synthesis, purification and analysis of complex organic compounds. Implement production and large scale manufacturing procedures to optimize processes and meet regulatory requirements.

Analyst

February 2009 to September 2009

Chemical analysis using a variety of instruments including gas & ion chromatography and various wet chemistry methods. Process analyzes to gather data for chemical pilot plant work.

Research Associate

July 2008 to January 2009

Radiopharmaceutical Research. 
Responsibilities include multistep synthesis of new cancer-targeting ligands for diagnostic imaging, Synthesis & development of bioconjugation linkers, scale-up of intermediates, and purification of target molecules using column chromatography, HPLC and spectroscopic characterization.

Scientist II

November 2007 to February 2008

Primary duties included testing all incoming cleaning validation samples using methods that were maintained under compliance with cGMP/GLP environment. Instrumentation use includes Water HPLC and PDA. include Millennium software.

Chemist

September 2007 to November 2007

Custom synthesis of small molecules. Purification of intermediates, final product & spectroscopic analysis.

Research Associate

August 2001 to March 2007

I was involved in the design and implementation of novel syntheses of steroid compounds as new agents for contraceptive research and reproductive endocrinology exploration. I synthesized some testosterone derivatives as potential superanderogen. Additionally, my other responsibilities included scale-up activities for preparing kilogram quantities of new steroids under cGMP regulation, purification and identification of each intermediate with spectroscopic methods.

Research Assistant

October 1999 to February 2001

Synthesis of peptidyl phosphonate diester units which are used against proteolytic catalytic antibodies. Conduct and interpret spectral and other analytical data.

scientist

August 2015 to February 2016

HPLC, GC, and FTIR analysis of API in raw materials and finished products. 
◆ Developed extraction solvent method 
◆ Documentation of test procedures into laboratory notebook per cGMP requiremets 
◆ Review of associates laboratory notebooks 
◆ Assist in execution of method validation protocol 
◆ Conduct ALI investigation for OOS 
◆ Provide analysis of components on finished products in conformance with cGMP regulations 
◆Proficient in using of Empower and Excel software for data analysis. 
◆ Comprehensive understanding of the Stability Laboratory Information Management system (SLIM) 
◆ Experienced with method development & Validation

Contract R&D Biochemist

November 2014 to April 2015

Trained on ADVIA Clinical Chemistry Systems (ADVIA 1200, 1800, 2400, XPT, Tosoh G8, and DCA200). 
◆ Data analysis using excel 
◆ Trained in SAP Electronic Notebook system 
◆ Experienced with method development & Validation 
◆ Written reports and documentation to comply with the Quality System Regulation in order to meet all FDA, ISO and IVDD standards 
◆ protein purification and characterization

Research Specialist, Department of Biochemistry

January 2011 to October 2013

Under minimal supervision, performs a variety of specialized and complex research and laboratory tests and procedures such as molecular cloning & mutagenesis, recombinant protein purification, pulled down assays, binding assays, gel electrophoresis, column chromatography (FPLC), and protein crystallization. 
◆ Analyze and interpret results of studies by consistently recording and compiles the experimental result for publication 
◆ Uses independent judgment in applying or adapting scientific technique to draw experiment conclusions such as knowing when a protein expresses, is soluble, and knowing the appropriate column, buffer, and pH to use so as to improve the overall quality of protein purifications 
◆ Review literature for related research developments and techniques and compiles findings related to my research studies and uses the knowledge to improve my experiment. 
◆ Assist in planning and scheduling research procedures. 
◆ Trained, mentored, and led research team comprised of one graduate student, and two undergraduate students 
◆ Collaborated across multiple disciplines to conduct comprehensive research, including working with X-ray crystallographers to obtain a 3D structure of an enzyme

Undergraduate Teaching Assistant, Department of Chemistry and Biochemistry

2010 to 2011

Data Scientist

September 2015 to December 2015

Delivered four projects during a 12-week, 450 hour on-site fellowship focused on statistical modeling, machine 
learning and data manipulation. Utilized tools including Tableau, Pandas, SQL, Flask, JS, D3, MongoDB, and AWS.

Data Scientist Intern

June 2015 to August 2015

Responsibilities 
◆ Assisted designing and facilitating new business systems 
◆ Analyzed patients behavior: classified patients according to spending capabilities using random forest algorithm with a prediction accuracy of more than 80%, grouped patients into numbers of clusters for future analysis by k-means clustering 
◆ Built weekly-patterned time series model to predict patients’ future spending with an 80% prediction accuracy 
◆ Cleaned and maintained both internal and external data

Scientist

October 2014 to October 2015

Responsibilities 
Developing and validating methods for pharmaceutical compound analysis. Regressing data using Watson LIMS and Analyst software. Preparing reagents and compounds for testing using GLP. 
 
Accomplishments 
Decreased daily time lost in "the maze" by creating and implementing a lab notebook tracking list. 
 
Skills Used 
Analytical thinking, troubleshooting, good laboratory practices

BioReagent Formulator

July 2013 to June 2014

Formulating and dispensing PCR master mixes and various buffers using cGMP in a FDA regulated environment. Documenting all work with batch records. Decreased daily paperwork time from 3 hours to 50 minutes by utilizing macros. Decreased dispensing time from 50 minutes to 30 minutes with small time saving techniques.

Research Intern

May 2012 to August 2012

January 2013 - March 2013) 
Culturing, transfecting and performing assays on eukaryotic cell lines to determine Claudin-16 expression. Maintaining stock reagents and supplies.

Customer Service Representative

September 2009 to October 2010

Responsibilities 
Resolving customer concerns via phone, email and fax

Data Scientist

2015 to Present

Ø John Deere (PEC) 
§ Roles: Analyst - Big Data Solutions - Data Scientist 
• Assigned and reviewed tasks, mentored junior analysts, managed performance feedback, and created development 
plans consistent with performing the role of team leader or project manager. 
• Supported business development activities to articulate John Deere's Big Data Analytics capabilities and helped 
shape and communicate proposed solutions to management and executives. 
• Directed community of practice meetings where items such as model validation, model selection, KPIs/ Metrics 
identification, and Best Practice methods are addressed. 
• Exercised Exploratory Data Analysis (EDA) techniques to visualize complex datasets using SAS/R for improved 
decision-making and issue identification across all telematics /measurements data. 
• Implemented Machine Learning (ML) algorithms such as Bayesian, SVM, Apriori, Random Forest, etc. in R to validate 
models before production. 
• Automated machine learning algorithms to get a better insight into issue segmentation by first successfully joining 
various sources together in SAP HANA for real-time calculations and then segmenting using clustering and probabilistic algorithms to generate valuable information.

Data Scientist at ZAPAD-Pribor

2013 to 2015

Retail /HQ) 
§ Roles: Data Analyst/ BI Analyst 
• Translated complex analytical concepts into actionable results. Was involved in the development and execution of all data management functions and statistical analysis relating to client specific projects. 
• Developed statistical models using R - programming such as traditional linear and generalized linear models 
including multiple regression, logistic regression, and application of multivariate methods. 
• Performed vendor landscape and technology assessments (Hadoop, NoSQL, distributed RDBMS, In-memory 
databases, BI / Reporting, analytical tools / languages, data visualization, etc.)

Analytics Consultant at SAP

2011 to 2013

Roles: Developer/ Consultant 
• Created technical specifications, which were used in query building and developing of Crystal Reports. Developed 
complicated (blend) queries using BeX Query designer. Used Web Application designer to create a template that 
was used with BeX reports and for SAP Crystal Reports. 
• Created various SQL stored procedures, views, functions and temporary tables for data input to the Crystal Reports. 
Ø Charles Schwab (Banking) - Phoenix, Arizona 
• Performed business requirement assessment. Analyzed processing and delivery methods, semantic layer, and content type. 
• Performed infrastructure assessment on current system and performed sizing for BI 4.0. 
• Provided Xcelsius and Business Objects consultancy advice to their team. 
 
Ø Honeywell (Manufacturing) - Morristown, NJ 
• Provided support with Mobile BI issues. Helped in resolving the issues with Web Intelligence reports on company- owned iPads. 
 
Ø National Bank of Canada (Banking) - Montreal, Canada 
• Created Xcelsius dashboard and Web Intelligence reports to meet client needs and facilitate in KPI tracking. 
• Created and troubleshoot issues which hindered a smooth rollout of Xcelsius Dashboard and Web Intelligence 
Reports. Provided consultancy role to existing Xcelsius Dashboard developers on best practices, design strategies, and technical assistance to their existing dashboard development. 
 
Ø Computer Science Corporation (Insurance) - Detroit, Michigan 
• Provided consultancy advice and documentation on the upgrade path from SAP Business Objects XI 3.1 to SAP 
Business Objects BI4. Developed training manuals on Crystal Reports, SAP Explorer, and SAP Web Intelligence for 
CSC. 
 
Ø GulfMark (Marine Transportation) - Dallas, Texas 
• Developed Xcelsius dashboards on top of the BPC and setup universe that was connected to an SAP Business 
Objects BPC environment using an ODBO connector. 
 
Ø AIG (Insurance) - Los Angeles, California 
• Developed Complex Crystal Reports (Ad Hoc Reports, Frequency Reports, Summary Reports, Drill-down, Dynamic 
grouping, graphical, aging reports), which were installed on BI 4.0 for HANA. 
• Installed Explorer 4.0 for HANA and Connected Analysis for MS Office (1.2) to HANA. 
 
Ø SAP (Internal) - Palo Alto, California 
• Created a set of dashboards for a pharmaceutical company to meet KPI tracking, which provided overall information on patients and their relationship to prescription increase over time to health level. 
• Provided consultancy role to existing Xcelsius Dashboard developers on best practices, design strategies, and technical assistance to their existing dashboard development.

Data Engineer

September 2015 to December 2015

Current) 
• Implementing engineering analysis in RCloud, a web based integrated development environment that runs R code in a cloud computing 
environment, and performing data analysis using python and R. 
• Create tools for data scientists and generate reports for front end developers from Rcloud, using python and R for report generation.

IT Data Developer, Intern

May 2015 to August 2015

• Researched data and batch issues to identify root cause, fixed defects and documented batch jobs. 
• Modified and developed SQL stored procedures, batch scripts and batch jobs in scheduler (Control M). 
• Developed simple stored procedures and SQL scripts and fixed defects in stored procedure. 
• Assisted in testing batch jobs including loading data for testing purposes and ramping up development (SQL, Control M, batch, FTP).

Data Scientist Intern

2015 to 2015

• Analyzed over 20,000 text answers of customer satisfaction surveys; presented final results and gave recommendations. 
• Extracted text data from Greenplum using PostgreSQL; cleaned text, conducted sentiment analysis, topic mining, keywords 
extraction, clustering analysis, and time series analysis using R; created dashboards using Tableau.

Big Data Intern / Team Leader

2015 to 2015

Led a team of six interns; detected and improved patterns of behavior in interacting processes for delivering health care 
interventions using Hive based on Hortonworks. 
• Figured out how many transitions there are in each state machine, how many times each state machine visit each state, how long it 
takes from start to finish, how long it spends in each state, and how the duration varies by visit.

2015 to 2015

Designed the MapReduce-based job and computed a similarity metric between a query document and an 8GB subset of the 
English Wikipedia using N-grams algorithm to find the most similar page using Java.

2015 to 2015

Analyzed more than 13,000 records of movie and predicted the ratings for new movies using Regression Models with R; gave 
evaluations and recommendations for investors to make decisions. 
• Analyzed more than 36,000 ratings and raters' basic information to figure out the relationship between users and the ratings 
using Clustering and Association Rules with R; recommended movies for new users according to their registration profile. 
Online Ordering Inventory Database System 2014 
• Analyzed system request from client and conducted interviews to follow up; designed the ERD using Visual Studio and converted 
ERD into relational schema; generated business rules according to client demands. 
• Implemented SQL statements to create and finalize the database system for storing, searching and updating data of more than 
2000 products; designed the interface using JavaScript. 
Search Engine 2015 
• Built a search engine by using web crawler, inverted index, and page rank algorithm using Python.

Data Analyst Intern

2014 to 2014

Analyzed source seller data and calculated new data for seller management database using pivot table; reported on trend data per 
week. 
• Tracked and updated sales data for potential launch seller; communicated analysis results and supporting data to relevant 
management and vendors; yielded a 15% increase of launch seller. 
• Created and edited campaigns using Marketo; managed seller backstage using Salesforce.

Data Scientist

January 2015 to January 2016

Used ensemble classification algorithms such as Random Forests to improve and rework an existing churn prediction model for a major cable operator. Feature 
selection and algorithm parameters were selected using recursive feature elimination and searching a grid of parameters (coarse, then fine) using cross-validation. 
Loaded and extracted evaluation data provided by the customer. Prepared 
reports evaluating model against out-of-sample churn experience. 
• Troubleshoot and improve existing production churn model in R. Wrote R code to train new version of the random forest model and evaluate current model. 
Evaluated multiprocessing infrastructure in R versus python. Rewrote production 
prediction process in Python using scikit-learn and pandas. Integrated new 
model into the existing production system. 
• Wrote Cython wrapper around Nexidia C++ libraries used to read tens of thousands of transcript files along with metadata. 
• Wrote feature extraction code to reproduce a SVM model from a published paper in order to classify zones (disclaimer, etc) in emails.

Senior Quantitative Analyst

March 2011 to December 2014

Investigated auto loan prepayment modeling and formulated proposal based on 
Fed research papers for adding auto loan prepayments to prepayment model. 
Obtained prepayment history for over forty auto loan deals from Bloomberg for various manufacturers. Completed prototype code in R/Rcpp and wrote 
production code in C++ and Managed C++. 
• Implemented bank balance sheet forecasts using Call Report data for proposed 
DFAST consulting business. Used R to investigate various methods for model 
selection and out-of-sample performance using the AICc and PRESS statistic. 
Implemented ridge regression method in C++. 
• Wrote a proposal to add seasonality and trend decomposition to the existing 
time series analysis tool. 
• Wrote a proposal to address prepayment model changes including fitting seasoning, 
burnout, and seasonality effects as well as a new two factor (home prices and interest rates) option-theoretic valuation methods using partial differential equations to incorporate default and prepayment in the boundary conditions. 
• Evaluated the economic capital model. Wrote technical paper outlining the model and incorporated changes into the C++ source code. Wrote unit tests to assure that changes to the source only incorporate known changes. Re- implemented in R to check the model source code. Bivariate normal probability 
calculations being a key part of the model, known algorithms were investigated in order to achieve the greatest speed while preserving double precision. 
• Implemented the Hull-White model in C++ and used QuantLib classes to bootstrap 
yield curves for use with fixed-income instruments with embedded interest rate 
options. 
• Implemented linear regression model classes and model diagnostics in C++ 
using Armadillo for use in automated model building in various software products as well as in DFAST stress testing.

Analyst (Contractor)

November 2009 to March 2011

Provided support and analysis for a trading desk and middle office risk management 
system, including user and technical documentation of analytics and user interfaces. 
Analyzed global data requirements for models and evaluated accuracy and efficacy of corporate data sources using SQL and other tools. Worked with trading 
desk to standardize data feeds into the system. Assisted trading desks with 
Smith, p. 3 of 4 
 
breaks, swap terms and conditions, troubleshooting PV and risk calculations, and downstream PnL feeds to the general ledger. 
• Worked with traders to standardize Business Intelligence cube views across the global Prime Services trading desks. 
• Developed decomposition algorithms for ETF's which hold other ETF's, bond 
ETF's, and leveraged ETF's and wrote functional specs.

Quantitative Developer

June 2007 to October 2009

Wrote SQL stored procedures and C++ programs to create multithreaded programs for scenario analysis of convertible bonds. Wrote C# programs to automate 
downloading data from Bloomberg and populating into the database. Wrote C# 
front end to facilitate setting up new convertible bonds. Produced various charts and analyses in R. Interfaced Excel with Bloomberg API. Supervised end of day 
pricing for over $4 billion in securities. 
• Supervised work implementing and evaluating the finite element method for the 
Black-Scholes partial differential equation in ANSI C++ which was used to value and calculate Greeks for warrants book. Reviewed C++ code and models for pricing equity options with an eye to performance enhancements and reliability. 
• Wrote report tool in Excel/VBA to streamline and automate risk report generation for risk committee and investors. Streamlined scenario analysis generation for 
US and non-US convertible bonds. 
• Worked with convertible bond desks in Hong Kong, London, and New York on traders blotter in Excel/VBA which was interfaced via Web Services with associated C++ .NET classes in the .NET calculation server and Bloomberg. 
Automated the end of day convertible bond analytics generation.

Senior Software Engineer

August 2005 to June 2007

Supported the team that obtained provisional AAA ratings for a Credit Derivative 
Products Company (CDPC). Integrated Excel-based capital models with Murex 
using VBA and stored procedures for proof of concepts to prepare for rating 
agency visits. Reviewed relevant documents and conceptualized systems to fulfill CDPC requirements. Provided technical support during rating agency 
visits. Wrote specifications for external reporting to rating agencies and counterparties. 
Provided time series of average CDS spreads by rating and fielded other data 
mining requests. 
• Provided reports and programming support in Python and SQL for the ABS and 
Corporate bond trading desks. 
• Wrote prototype of an ABS credit monitoring application in Java. 
• Wrote design documents for trade order management and credit monitoring 
applications.

Director

August 2004 to August 2005

Assisted development team with financial indicator interpretation, mathematical 
optimization algorithms and source code for a credit risk ratings project used by the Credit and Market Risk group to evaluate DTCC participant financial 
strength. Wrote test system in SQL stored procedures used to evaluate the ratings produced relative to various changes in underlying financial indicators. 
Evaluated quadratic programming optimization algorithms and their implementations as open-source projects in C++. 
• Evaluated and rewrote models for FICC Fixed Income VaR project, including 
corporate and convertible bonds. Created test bonds and data for Quality Assurance 
department prior to moving to production systems. 
Smith, p. 4 of 4 
 
• Wrote back and stress test reports (in Word, Excel/VBA, and PowerPoint) of simulations of participant failures in order to evaluate margin requirements for 
NSCC and FICC. These reports were sent to the Board of Directors risk committee.

Programmer/Analyst

April 2000 to August 2004

Supported the risk group and agency mortgage-backed securities desk. Added 
new capabilities to an application used to value bonds, and additional functionality to other applications used to visualize data and value CMBS securities. Designed and implemented overnight batch jobs to perform risk and valuation calculations. 
• Managed overnight batch processing system, wrote new Perl and Unix shell 
scripts when required, and provided troubleshooting of existing scripts and C++ 
programs. Interfaced with Sybase servers using SQL stored procedures. 
• Added capabilities to record additional CMO information using an Intex-based 
Unix C++ program used to obtain whole loan and agency deal and tranche 
information. 
• Increased the reliability of a critical data upload process using stored procedures and staging tables 
 
ACADEMIC

Adjunct Assistant Professor, Computer Science Department, Georgetown University

1999 to 1999

Taught a course in computer networking. 
• Adjunct Assistant Professor, Department of Mathematics, Agnes Scott College,

Instructor, DeKalb College, Department of Mathematics, April

January 1993 to May 1993

January 1993 - May 1993. Taught a course in finite mathematics (mathematics of finance, descriptive statistics, and linear programming). 
 
• Instructor, DeKalb College, Department of Mathematics, April 1992 - December 1992. Taught courses in college algebra. 
• Visiting Assistant Professor of Mathematics, University of North Texas, September 1990 - May 1991. Taught calculus.

Data Scientist in OspreyData

May 2015 to January 2016

Worked with data from ESP (electricity submersible pump): ESPs are installed in production wells to optimize production rate of petroleum at the production sites. The ESP records many data automatically every second. The data is often noisy with significant data volumes. Our company leverages the data to diagnose the operational state of ESP pump. 
 
• Predicted operational and failure modes from physical and calculated sensors from ESP. 
• Wrote unique classifier that predicts gaslock, watercut, impeller wearing, etc with 95% confidence. Expected to save 10 million dollars by predicting pumps failure in downhole. 
• Leveraged Machine Learning to create diagnostic classfiers and clustering analysis. 
• Analyzed and designed feature set to maximize model fit with R. 
• Implemented the machine learning algorithm into production software utilizing Python. 
• Applied SVM machine learning algorithm to non-linear data to fit and predict. 
• Wrote Algorithm programming with R and python. Sometimes Matlab. 
• Data mining using various models. 
• Worked with Shapelet and Time series data Warping.

Data Scientist in OilQuest

May 2014 to March 2015

Worked with data from clients (Conoco Phillips, SK). The data includes well logging data, production data, seismic data, microseismic data, and geographic data. 
 
• Utilized various industrial geophysical and engineering data, Identified 3 new reserviours with an estimated 2 billion barrels of oil in North East Australian offshore Australia. Found where petroleum and water are located. 
• Analyzed property of rocks underground based on data utilizing wavelets from well data integrated with seismic data to create synthetic map. 
• Applied machine learning models to dataset and predicted. 
• Designed and ran uncertainty analyses. 
• Accurately predicted size of petroleum reserves underground with 90% confidence. 
• Visualization and interpretation (2D, 3D, 4D).

Researcher

October 2013 to May 2014

In Kezin, there is reservoir downhole where the research center injects CO2 to save the CO2 in it. This is called CCS (Carbon Capture and Storage). They acquired various data in different timings which allow us to detect the change of property underground by checking change of data feature property. 
 
Worked with the Data from European Research Center (Kezin, Germany). The data is time lapse data set including geographic data, microseismic data, geological data, seismic data, well logging data and production data. 
 
• Worked with various geological, geographical and engineering data. With various well logging data and production data, we found out how water layers have been changed depending on time going by. 
• Analyzed property of rocks underground based on data. 
• Ran AVO(Amplitude Versus Offset) analyses, Fuzzy Analyses, Uncertainty Analyses 
• Programmed full waveform inversion models with Fortran, C, C++. 
• Analyzed CO2 layer change when time flew from seismic map after Data processing and Tomography 
• Modelled of CO2 expansion underground and timing when the CO2 overflow the storage of reservoir.

Microbiologist / Scientist

August 2015 to February 2016

On August 31st, 2015 Pall Corporation was acquired by Danaher Corporation. 
 
Duties include: 
• Viral challenging of test filters, 
• Viral clearance studies, 
• Log reduction value (LRV) determination of all test filters. 
• QPCR, 
• Plaque assay, 
• Data analysis and reporting. 
• Acquiring and implementing skills in the bacterial challenging of filters. 
• Working with Medical R + D with the cell therapy lines of business. 
• Lead SLS scientist in charge of working with both animal and human cell therapy filtration lines. 
• Working to improve and stream line all laboratory processes 
• Maintaining the Customer First focus. 
• Expanding and continually improving this focus. 
• Applying Kaizen principles to daily laboratory work. 
• Learning and implementing the Danaher Business System (DBS) to further help us grow and expand our reach for ever higher business goals to make this good company a great company. 
• In my new role as a Danaher Associate I continue to learn new things and also work with the new technology already transferred, high through put and semi-automation of testing process. 
• Use semi-automation for the viral challenge testing of filters, this new technology was a joint effort between CAMS R + D and the Microbiology lab.

Microbiologist / Scientist

July 2014 to August 2015

Duties included: 
• Worked with the viral challenges of test filters, 
• QPCR, 
• Plaque assay, data analysis and reporting. 
• Acquired and implemented skills in the bacterial challenging of filters. 
• Worked with Medical R + D with the cell therapy lines of business. 
• Lead SLS scientist in charge of working with both animal and human cell therapy filtration lines. 
• Worked to improve and stream line all laboratory processes 
• Worked to Implement and incorporate Kaizen principles to daily laboratory processes. 
• Worked with the R + D CAMS group (Center for Applied Materials Science Group) developing, improving, testing, bringing and implementing new technology and new technology transfer from R + D directly to the SLS Microbiology. 
• Wrapped up the work with R + D CAMS group (Center for Applied Materials Science Group) 
• Worked with the new technology already transferred, high through put and semi-automation of testing process.

Microbiologist

April 2012 to July 2014

Duties included: 
• Project management, 
• Lead projects, 
• New development, worked directly with the R + D CAMS group (Center for Applied Materials Science Group) developing, improving, testing, bringing and implementing new technology and new technology transfer from R + D directly to the SLS Microbiology laboratory group, 
• High through put and semi-automation of testing process 
• Viral challenges of test filters, 
• QPCR, 
• Plaque assay, 
• Statistical Data analysis and reporting. 
• Presenting data at weekly new development meetings 
• Power-point presentations, that included statistical analysis and presentation of data. 
• Formal Global project submission to the Global Project database. 
• Formal report writing, 
• Developed, and wrote new procedures for use by the SLS Microbiology related to the new technology transferred. 
• Trained scientists on these new methods and procedures.

Research Scientist

January 2008 to April 2012

In the Prion, Biomedical and Cell therapy lab as part of the Prion, Biomedical and Cell Working as part of the Prion Lab, Biomedical Lab and Cell Therapy Lab Group. 
Working Therapy Lab support group. 
• Working with Human Blood whole blood (WB), Human bone marrow, Platelets, cord blood, Packed Red Cells (PRC), and Plasma 
• Developing and implementing innovative systems for filtration and or concentration of with Human Blood whole blood (WB), Human bone marrow, Platelets, cord blood, Packed Red Cells (PRC), and Plasma 
• Working with both small and large scale extractions and filtrations of Human Whole Blood, Packed Red Cells and Plasma. 
• Also working with spiking and recovery studies with Human Whole blood. Packed Red cells and Plasma 
• Delphia Assay optimizations and prion spiked human PRC extraction optimizations for detecting Hamster prion both pre and post filtration.

Food Scientist (Microbiologist)

February 2005 to January 2008

• Performing hygienic evaluations of all gable top form, fill and seal liquid packaging machines produced at this company. 
• Operation of pilot plant and Aseptic filling validation 
• Evaluation of machinery to meet ISO class 5 air standards, in some cases ISO class 6 air standards. 
• Biochemical analysis and experimental testing including microbiological analysis of machine systems. 
• Chemical compatibility studies 
• Environmental monitoring, gram staining and identification of organisms and Bioburden testing 
• Kill rate studies with challenge organisms to determine the sterile environment within the machines and the effectiveness of machine dispensing and cleaning processes. 
• CIP clean-ability studies using buttermilk, orange juice, yogurt and liquid egg product and SIP sterility studies of prototype and standard dispensing machinery. 
• Real and viable particle counts in the environment within these machines and the environment surrounding them. 
• Mold testing of the machine and environment, as well as mold testing of paper-board used in conjunction with these machines. 
• Spore inoculation and kill rate studies with surrogate organisms 
• Working directly with customers and vendors. 
• Traveling to our paper converting plants to do plant hygiene audits. Traveling to customer sites to validate the machinery at the customer site after installation.

Senior Level Scientist

June 2000 to May 2004

• Trouble shooting, problem solving. Worked as a liaison between technical service, manufacturing and R + D. Supervised second shift of media production workers. 
• Worked in the supply chain including the conjugation chemistry (Gold-Sol) behind the lateral flow devices for the detection of the bacteria Salmonella and E.Coli, Quality control, R + D and manufacturing on Special projects related to manufacturing issues. 
• Focused on trouble shooting and problem solving in areas of lateral flow device production process improvement, process modification and design. 
• Trouble shooting and improving Elisa process production. 
• Designed experiment tracking data, data trends and presented results at Scientific review meetings 
• Involved in media production and dispensing, formulated batch reagents needed to meet production schedules. Followed, updated, improved standardized manufacturing forms (SPF's) and standard operating procedures (SOP's) all with the goal of implementing ISO 9000 documents and procedures in mind.

Research Scientist

July 1992 to January 1999

May 1999 to June 2000 
 
• Developed immunodiagnostic test's (Elisa's) both sandwich, direct and indirect Elisa's. Worked with Balb c mice all phases of monoclonal Ab production, polyclonal Ab with sheep and rabbits. Protein purification and conjugations. Spiking recovery studies, cross reactivity studies, stability studies and all the validations needed to get a test from research to production as a new product for sale. 
 
Honors Awards and Activities:

Geo Scientist/Data Systems Consultant

March 2015 to October 2015

Involved with Web and and data systems for marune accustics and 3D data vis/sim. 
• GPS Systems, ArcGIS, Hypack, SonarWiz, R2 Sonic 
• Visual Studio, Visual Basic, custom systems development 
• Management and reporting systems 
• Data Visualization Systems 
• ADA Compliance 
• GitHub, ByteBucket, Mercurial 
• HTML, XML, JSON, CSS 
• Javascript, frameworks MEANS Stack, Open Stack 
• Technical Writer and Illustrator 
• Google Analytics 
• Word, Excel, Access, Visio. Sharepoint, Project 
• Dreamweaver, Photoshop, Soundbooth, Captivate 
• Illustrator, Captivate, Soundbooth 
• Cyber Security, Tripwire 
• Windows, Unix, Ubuntu, IOS

Data Systems Consultant

December 2014 to January 2015

Involved with enterprise data systems analysis and design expansion. 
• Server systems and Cluster management 
• Python, Ruby 
• HTML, CSS, Javascript 
• Google Analytics 
• GitHub, ByteBucket, Mercurial 
• Adobe CS5 Dreamweaver, SoundBooth, Captivate 
• Photoshop, Illustrator, Fireworks 
• Hadoop, MongoDB 
• Data Security Systems

Data Systems Consultant

2013 to December 2013

Involved with data migration and systems design, testing and similation. Web based systems analysis and network security. 
• SCCM 2007 to 2012 R2 
• Hypervisor development 
• Enterprise Migration and application catalog 
• Windows, Linux, Ubuntu 
• Python, Ruby 
• Google Analytics 
• PL/SQL, Oracle, Toad 
• Waterfall, Agile, Scrum

Data Systems Consultant

August 2013 to November 2013

Involved with conversion systems for centralized data warehousing, data driven systems, modeling, unit testing, and modeling. Database conversion within distributed data systems and cloud based development. Web based analytics and network security. 
• PHP, DOJO, DIJIT, ZEND studio 10 
• Network Security Systems 
• ADA Compliance 
• HTML, CSS, Javascript 
• Google Analytics 
• Dreamweaver, Photoshop, Captivate 
• SoundBooth, Illustrator, Fireworks 
• Apache, Unix, Linux, Windows, Ubuntu 
• PostgreSQL, PgBouncer

Sr Systems Engineer/Project Lead

December 2010 to April 2013

Involved in data systems, UI development, Django/Python environment, iOS/OSX, android, modeling and customer pilots, demos for cloud based mobile native and Web application development. Mentoring, project and program development. 
• Security: Unit, intrusion, testing 
• Java, Iron Python, Python, DJango, JQuery 
• Oracle 11i, Toad 11, PL SQL 
• Google Analytics 
• ADA Compliance 
• SVN, GitHub 
• HTML, CSS, SCSS, Javascript, JQuery 
• Adobe CS5 Dreamweaver, Photoshop 
• Illustrator, Captivate, Soundbooth 
• Visual Studio 2012 
• Network Security Systems 
• Sencha, XCODE,

Systems Analyst

September 2008 to April 2010

Involved in server and web application development as well as international client communications, webninar development for international GPS tracking systems. 
• Integrated systems and application development 
• Development within Unix, Windows 
• J2EE interface and data systems development. 
• Visual Studio, Builder SDK, Cold Fusion 8 
• ADA Compliance 
• Twitter, Facebook 
• SubVersion 
• MS Office Pro, Sharepoint, Visio 
• HTML, CSS, Javascript 
• Adobe CS Dreamweaver, Photoshop 
• Illustrator, Captivate, Soundbooth 
• XML, PL/SQL, Oracle 10g, AJAX, CSS3, HTML5 
• Java, JDK, Eclipse 
• Waterfall, Agile, Scrum

Systems Analyst

August 1997 to April 2008

Involved with data systems, server and web UX/UI development. 
• CMS - Site Executive, Sakai 
• Dreamweaver, Premiere Pro, Captivate 
• Eclipse, Sharepoint, Visio 
• Jave, Javascript 
• Twitter, Facebook 
• ADA Compliance 
• HTML, CSS, Javascript 
• Adobe CS Dreamweaver, Photoshop, Illustrator, 
• Captivate, Soundbooth, Fireworks 
• Apache, Tomcat 
• C#, C, VB, CSS, SCSS, HTML, XML, Steaming 
• MySQL, Oracle, SQL 
• MS Project, Visio, Sharepoint, PowePoint, SCM 2012

Data Scientist

August 2015 to Present

Responsibilities 
Taught professional data science bootcamps and performed full stack Django website development. 
 
--Teach a 5 day data science and data engineering bootcamp with a team of 2 or 3. My focus is machine learning. 
--Perform data science analyses on publicly available data sets for class exercise development 
--Upkeep and improve a Wordpress/WooCommerce based website 
--Develop curriculum for the 5 day public bootcamp and for customized corporate trainings. 
 
Accomplishments 
--Designed and developed a certification website allowing for verification of alumni bootcamp attendance using Python and Django 
--Designed and implemented an online learning portal using Wordpress 
--Improved learning materials (slides, code exercises, etc.), leading to a significant improvement in student outcomes.

Graduate Research Assistant

2011 to August 2015

Advised by Professor Oksana Ostroverkhova 
--Researched, designed, and developed a computational regression model for the analysis of photocurrent transients through fitting simulated data to experimental data 
--Tested multiple nonlinear optimization models to determine best technique for extracting meaningful parameters from experimental data 
--Wrote and edited papers published in leading peer reviewed journals 
--Determined direction of research project through frequent evaluation of project goals in context of collected data 
--Designed, built, and aligned several types of optical and electrical experiments in collaboration with coworkers 
--Characterized electrical and optical properties of novel organic semiconductors extracted from fungal secretions as part of interdisciplinary team 
--Managed 3 computer Linux network internal to lab

Graduate Teaching Assistant

2010 to 2011

Taught multiple sections of 1 hour recitation classes. 
Planned and delivered 10-20 min lectures reinforcing topics taught in main lecture 
Enhanced student's understanding of lecture through moderating small group problem 
work

Tutor

2009 to 2010

Provided in house and agency-supplied tutoring to high school students in math and physics.

Math & Physics Tutor

2006 to 2009

Provided group and one-on-one tutoring services to students through the university.

Scientist

August 2015 to February 2016

Method Development/Analytical 
HPLC and UPLC method development for assay of inhalation therapy drugs using Waters/Alliance equipment and Empower Software. Utilized Microsoft Xcell software for linearity and recovery reports.

Chemist

April 2015 to July 2015

Method Development, Method Transfer and Method Revision. 
HPLC trials of active pharmaceuticals and impurities using revised methods. Trace Level Analysis of swab samples. Empower Software, Agilent and Alliance instruments. Transcribe client test methods into company SMA format. ID of API's by FTIR. Ordering of laboratory standards and reagents.

Scientist

March 2014 to December 2014

Method Development and Method Transfer and Method Revision. Analysis of raw materials by GC & HPLC using Empower Software, UV-Vis, FTIR, KF and particle size analysis. Trained chemists to perform USP/NF and EP methods. Tracking of raw materials by FUSION laboratory instrument management system. Contract position through C&G Consulting Services.

Chemist

August 2007 to March 2014

Analysis of raw materials. GC & HPLC using Empower Software, UV-Vis, IR, polarimeter, Malvern Mastersizer. USP/NF and EP methods. Trained junior chemists and technicians. Trackwise System used for revisions of SOP's, test procedures and OOS reports.

Analyst

August 2005 to August 2007

Stability Studies of consumer products. HPLC using Alliance and Waters Instruments and Empower Software, Dissolution, Agilent UV-Vis, HORIBA particle size, viscosity. Solid dosage and Suspensions. Trainer of Junior Analysts on instruments and notebook format. LIMS data entry. Contract position through Kelly Scientific Services.

Chemist

May 2005 to July 2005

Research and development of active pharmaceutical ingredient HPLC analytical methods. Preparation of mobile phases and dilution solutions. LIMS statistical testing of retain prototype product delivery devices. Temporary position through Kelly Scientific Services.

Laboratory Technician

November 2002 to May 2005

Research and development of long term drug delivery systems. Formulation of experimental polymer/drug mixes. Injection molding, extrusion, compression molding, and blow molding. Pre-Clinical and Clinical Phase I trials. Optical comparator tests of finished products. Filling, packaging and sealing products. Viscosity, rheometric, and calorimetric analysis of raw materials and mixes. Microsoft Excel reports.

Laboratory Technician

August 2002 to November 2002

Physical testing of plastics by IZOD and ASTM impact methods using Charpy, Zwick, BLI, and Dynatup. Data entered into Laboratory Instrument Management System. Temporary position.

Laboratory Technician

April 2002 to August 2002

Preparation of buffers, media, and equipment using cGMP and SOP guidelines. Temporary position.

Chemist

May 1996 to December 1997

Analysis of raw materials and fragrances by GC, UV/VIS, and titration by Directory of France SOP's.

Data Scientist

October 2014 to November 2015

Responsibilities 
Worked on various data science projects. 
 
Accomplishments 
Developed regression models using neural networks and ensemble methods (SVM, gradient boosting, random  
forests) for dispatches forecast. Designed a smart phone based platform to monitor dangerous driver behavior.  
Implemented data fusion from smart phone sensors (accelerometers, gyroscope and GPS) and developed a robust  
and reliable algorithm (in MATLAB and Python) to detect rash driving patterns. Developed trip recognition algorithm  
using GPS data and Open Street Map.  
 
Skills Used 
Python, Matlab, Image processing, Machine learning, Statistics.

Scientist

February 2013 to August 2014

Responsibilities 
Developed computational efficient algorithms for solving Electromagnetics problems. 
 
Accomplishments 
Developed computational efficient algorithms with analytical preconditioning of integral equations  
(Magnetic field integral equation, Electric field integral equation and Combined field integral equation) for solving  
2D and 3D electromagnetic problems; suggested an accurate and robust method for near singular integrals  
evaluation.  
 
Skills Used 
C++, UNIX, Computational Electromagnetics, Vector and Tensor Calculus, Differential & Integral Equations

Applied science technical lead

October 2007 to April 2012

Responsibilities 
Developed signal processing and image processing algorithms and improved image quality for various REVEAL/SAIC products.  
 
Accomplishments 
Proved vital to the design of a dual energy cone beam CT scanner, delivering critical improvements in hardware and  
software design; invented and designed a series of experiments to predict and reduce scatter in the system;  
explored new image processing approaches to transmission and backscatter screening.  
 
Headed development of multisensor handheld detectors based on RF, IR and acceleration sensors to identify  
concealed objects on persons.  
 
Developed statistical modeling techniques for pattern recognition problems. Created new edge filters that are stable  
to noisy image data. Prototyped ͞liquid in a bottle͟ and ͞texture͟ detectors.  
 
Evaluated compressive sensing methods for computed tomography applications.  
 
Skills Used 
Matlab, Python, C++, Windows XP, Computed tomography, Image and signal processing, Computational Electromagnetics, Compressed sensing, Leadership

Research Engineer/ Research Scientist

May 1997 to July 2007

• Led a cross-functional team comprised of mechanical, electrical, optical, and software engineers on R&D projects; prepared reports, made presentations for senior management, and represented company at scientific conferences. 
• Performed data analysis and created a method for proper polystyrene latex (PSL) particle sizing on wafers, providing agreement between measured and simulated results and improving WIS calibration stability. 
• Developed fast and efficient rigorous numerical methods for solving electromagnetic (EM) scattering problems based on methods of moments (MOM) applied to volume and surface integral equations (3D cases). 
• Trained software engineers on algorithms for signal processing, pattern classifications, and image analysis.

Research Scientist

June 2007 to June 2014

As an R&D Scientist at Invivoscribe, I developed, validated and characterized RUO, ASR and CE-marked IVD reagents, test products and procedures. The molecular diagnostic assays that I developed and optimized are designed to identify genetic variations indicative of Leukemia, lymphomas, and lymphoproliferative diseases in order to tailor patient treatment, monitor disease status, and ultimately achieve the best patient outcome. 
 
• Developed and validated PCR-based molecular diagnostic assays using NGS strategies on Illumina MiSeq and Life Sciences IonTorrent platforms 
• Revised and optimized PCR-based assays utilizing Capillary Electrophoresis, real-time PCR, gel analysis 
• Wrote and implemented Validation Studies, SOPs, QTPs and other controlled documents 
• Characterized products in order to set specifications for LOD, LOB, Linearity, as well as Reproducibility and Repeatability 
• Determined Acceptance Criteria for Quality Control testing of materials made in Production. 
• Trained personnel from other departments (i.e. Quality Control, Production) on how to perform assays and interpret subsequent data in a meaningful way 
• Acted as R&D representative in collaborative interdepartmental project planning teams 
• Presented novel data to coworkers, partner companies, as well as to peers within the scientific community (i.e. poster at AMP conference) in a clear, concise and insightful fashion 
• Played managerial role in project to perform validation studies necessary for CE-marking of key products 
• Extensively trained in Six Sigma, performed statistical analyses using Excel, JMP software

Imaging Data Scientist

November 2015 to January 2016

Responsibilities 
-Planning the data acquistion strategy for different types of images from drones 
-Deep learning for image segmentation 
 
Skills Used 
Python, C#, machine learning, deep learning, computer vision

Research Assistant

January 2015 to August 2015

Responsibilities 
● Separating the fat tissues from the other types of tissues present in a 3D MicroCT Zebrafish image which is approximately 100GB(one image). 
● Implemented SVM ,Markov Random fields , Gaussian Mixture Modelling techniques alongwith raw features, hhistogram of gradients for image segmentation.  
● Developing an unsupervised machine learning technique to segment out the different tissues automatically  
 
Accomplishments 
Combined 2 standard techniques : SVM and Markov Random Field to get better results- improved accuracy of estimation by 2-3 % . The best classification accuracy was 97.3 % which was approved as good 
 
Skills Used 
MATLAB, Python , Latex, Algorithms, Machine Learning, Feature Extraction, Histogram of Gradients, SIFT, Support Vector Machines, Markov Random Fields, Gaussian Mixture Modelling

Teaching Assistant

August 2014 to May 2015

Teaching students basic circuit design and simulation, conducting labs and instructing 
students NI LABVIEW and NI MULTISIM 
● Enjoying teaching students and improving my communication skills